Disparity-Aware Federated Learning for Intrusion Detection Systems in Imbalanced Non-IID Settings-Reference-Cited by-同舟云学术

Disparity-Aware Federated Learning for Intrusion Detection Systems in Imbalanced Non-IID Settings

Published:2023-12-21 Issue: Volume: Page:
ISSN:
Container-title:10th International Conference on Networking, Systems and Security
language:
Short-container-title:

Author:

Islam Md Mohaiminul¹^ORCID,Islam A. B. M. Alim Al¹^ORCID

Affiliation:

1. Bangladesh University of Engineering and Technology, Bangladesh

Publisher

ACM

Reference41 articles.

1. Federated Learning for intrusion detection system: Concepts, challenges and future directions

2. Malek Al-Zewairi , Sufyan Almajali , and Arafat Awajan . 2017 . Experimental evaluation of a multi-layer feed-forward artificial neural network classifier for network intrusion detection system . In 2017 International Conference on New Trends in Computing Sciences (ICTCS). IEEE, 167–172 . Malek Al-Zewairi, Sufyan Almajali, and Arafat Awajan. 2017. Experimental evaluation of a multi-layer feed-forward artificial neural network classifier for network intrusion detection system. In 2017 International Conference on New Trends in Computing Sciences (ICTCS). IEEE, 167–172.

3. Deep-intrusion detection system with enhanced UNSW-NB15 dataset based on deep learning techniques;Aleesa Ahmed;Journal of Engineering Science and Technology,2021

4. Ons Aouedi , Kandaraj Piamrat , Guillaume Muller , and Kamal Singh . 2022 . Intrusion detection for softwarized networks with semi-supervised federated learning . In ICC 2022-IEEE International Conference on Communications. IEEE, 5244–5249 . Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, and Kamal Singh. 2022. Intrusion detection for softwarized networks with semi-supervised federated learning. In ICC 2022-IEEE International Conference on Communications. IEEE, 5244–5249.

5. C. Briggs , Z. Fan , and P. Andras . 2020. Federated learning with hierarchical clustering of local updates to improve training on non-IID data . 2020 International Joint Conference On Neural Networks (IJCNN) ( 2020 ), 1–9. C. Briggs, Z. Fan, and P. Andras. 2020. Federated learning with hierarchical clustering of local updates to improve training on non-IID data. 2020 International Joint Conference On Neural Networks (IJCNN) (2020), 1–9.